– Introduction –
The first steps outside the comforts of the category of Hilbert spaces, the safe space for of functional analysis, into the unruly world of topological vector spaces, can be a troubling experience for any student, myself included. To easy the passage, here are a few tips and results regarding the existence of complementary subspaces in the general setting of topological vector spaces. For Hilbert spaces it is known that every closed subspace has a preferred (topologically) complementary subspace, namely the orthogonal complement, but any two (algebraically) complementary closed subspaces are automatically (topologically) complementary (by Theorem 1).
First, lets get the definitions out of the way. Two subspaces of a vector spaces
are said to be algebraic complements (denote
) if any
can be written uniquely as a sum
, where
and
. This is equivalent to the condition
and
(as a set).
Here two subspaces of a toplogical vector space
are (topologically) complementary, written
, if either of the following equivalent conditions hold:
and there exists a continuous projection
onto
along
(or vice versa of course) . That is a continuous projection onto
with
.
- There exists a homeomorphism
, where the latter space is endowed with the usual product topology.











By the codimension of a subspace , we mean the dimension of the quotient space
. This is equivalent to the, slightly more intuitive, definition of the dimension of the algebraic complement of a subspace since these have the same dimension, which can be verified using the first isomorphism theorem for vector spaces. All subspaces have algebraic complements, just augment the basis of the subspace to a basis of the whole space. I don’t intend to make a habit of pointing out what result relies on the axiom of choice here, since one really cannot have much fun without it, but yes… it does rely on the axiom of choice.
Some Results
If













To the best of my knowledge the next theorem requires the Hahn-Banach separation theorem, so we are restricted to locally convex spaces.
If



Let







Let be a basis for the finite dimentional subspace
, with the notation
we pick
with
. It is now easy to check that the linear operator
defined by by the equation
for all is a bounded projection onto
. Setting
we have our complementing subspaces.
Note the generality of the following statement.
Let

















If




with
so it is of finite codimention. The result then follows from theorem 3.